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- Aufgaben: Lead and establish an Institute for AI in Medicine, focusing on biomedical data analysis.
- Arbeitgeber: Ulm University is a dynamic institution with expertise in trauma, ageing, oncology, and neurology.
- Mitarbeitervorteile: Join a cutting-edge academic environment with opportunities for innovation and collaboration.
- Warum dieser Job: Make a significant impact in AI and medicine while shaping future academic programs.
- Gewünschte Qualifikationen: PhD required; strong background in AI applications in medicine preferred.
- Andere Informationen: Encourages applications from women and severely disabled candidates.
Das voraussichtliche Gehalt liegt zwischen 80000 - 120000 € pro Jahr.
The Medical Faculty of Ulm University is seeking to fill the position, starting as soon as possible, of a
Professor (W3) for Artificial Intelligence (AI) in Medicine (management responsibilities, f/m/d)
Ulm University has unique expertise in the research areas of trauma, ageing, oncology, and neurology, supported by three Collaborative Research Centres and specialized centers dedicated to these topics. As an active participant in the German Medical Informatics Initiative and the Network of University Medicine (NUM), we have access to numerous biomedical databases. Ulm University offers a range of cutting-edge Medicine and STEM programs, some of which are taught in English. Our dynamic academic environment fosters innovation and cross-faculty collaboration to tackle complex challenges in areas such as life sciences, artificial intelligence (AI), and quantum technology.
With this professorship, we aim to further strengthen our existing research structures by addressing translational biomedical questions through AI and machine learning (ML).
We are seeking an outstanding individual to lead and establish an internationally visible Institute for AI in Medicine, focusing on the application and development of AI methodologies for analyzing biomedical datasets. The ideal candidate will have a distinguished track record and a strong network of collaborations in AI for medicine, encompassing areas such as multiomics, imaging, or the integration of complex medical data. The candidate is expected to contribute to both curricular and extracurricular teaching in Medicine and STEM programs including molecular medicine, computer sciences, and technology, as well as to develop new academic programs.
Minimum Requirements:
- Completed university studies
- Teaching aptitude
- Doctoral degree
- Further pertinent scientific achievements (§ 47 LHG)
We look forward to your application via our online application portal: Application Portal
Your contact for further information: Prof. Dr. Markus Huber-Lang, Vice Dean, Tel. +49 731 50-54800
The University is seeking to increase the proportion of women in research and teaching and particularly encourages qualified female scientists to apply for this position. Severely disabled applicants with equal aptitude will be given preferential consideration.
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Professor (W3) for Artificial Intelligence (AI) in Medicine management responsibilities (f / m [...] Arbeitgeber: Universitätsklinikum Ulm
Kontaktperson:
Universitätsklinikum Ulm HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Professor (W3) for Artificial Intelligence (AI) in Medicine management responsibilities (f / m [...]
✨Tip Nummer 1
Nutze dein Netzwerk! Kontaktiere ehemalige Kollegen oder Professoren, die bereits in der medizinischen Informatik oder KI tätig sind. Sie können dir wertvolle Einblicke geben und möglicherweise sogar Empfehlungen aussprechen.
✨Tip Nummer 2
Engagiere dich in relevanten Fachkonferenzen und Workshops. Diese Veranstaltungen sind eine großartige Gelegenheit, um deine Expertise zu zeigen und dich mit anderen Fachleuten auszutauschen, die ähnliche Interessen haben.
✨Tip Nummer 3
Fokussiere dich auf die spezifischen Forschungsbereiche von Ulm University, wie Trauma, Alterung, Onkologie und Neurologie. Zeige in Gesprächen und Netzwerken, wie deine Erfahrungen und Projekte in diese Bereiche passen.
✨Tip Nummer 4
Bereite dich darauf vor, innovative Ideen für die Entwicklung neuer akademischer Programme zu präsentieren. Überlege dir, wie du KI-Methoden in bestehende Lehrpläne integrieren kannst, um das Studium an der Universität zu bereichern.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Professor (W3) for Artificial Intelligence (AI) in Medicine management responsibilities (f / m [...]
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the specific requirements and responsibilities of the Professor (W3) for Artificial Intelligence in Medicine position. This will help you tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasize your distinguished track record in AI for medicine, including any collaborations, research projects, or publications that align with the focus areas mentioned in the job description.
Prepare a Strong Cover Letter: Craft a compelling cover letter that not only outlines your qualifications but also demonstrates your vision for establishing an internationally visible Institute for AI in Medicine. Make sure to connect your past experiences with the goals of Ulm University.
Follow Application Instructions: Ensure that you submit your application through the specified online application portal. Double-check that all required documents are included and formatted correctly before hitting 'submit'.
Wie du dich auf ein Vorstellungsgespräch bei Universitätsklinikum Ulm vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects, especially those related to AI in medicine. Highlight any collaborations you've had and how they contributed to your work, as this position emphasizes a strong network in the field.
✨Demonstrate Teaching Aptitude
Since teaching is a key component of this role, think about examples from your past teaching experiences. Be ready to explain your teaching philosophy and how you engage students in complex subjects like AI and molecular medicine.
✨Discuss Future Vision
Articulate your vision for the Institute for AI in Medicine. Discuss how you plan to address translational biomedical questions and what innovative programs you would like to develop, aligning with the university's goals.
✨Prepare for Questions on Collaboration
Expect questions about how you would foster collaboration across faculties. Think of specific strategies or past experiences where you successfully worked with other departments or institutions to tackle interdisciplinary challenges.
